26 April, 2022

Course

Topics

Day Topic
1 Intro to Version control (git), reproducible research (rmarkdown) and data wrangling
2 Data visualisation and Frequentist (generalized) linear models (GLM)
3 GLM continued + dealing with heterogeneity and autocorrelation
4 Day 3 continued + Frequentist mixed effects models
5 Frequentist generalized linear mixed effects models (GLMM)
6 More GLMM + Frequentist generalized additive models (GAM + GAMM)
7 GAMM + regression trees
8 Bayesian linear models
9 Bayesian generalized linear/generalized mixed effects
10 Multivariate analyses

Prep

  • Show-us-your-Rs
  • R editors
    • Rstudio
  • Version control / Collaboration
    • git/github
  • Scripts and reproducible research
    • knitr
    • lintr/styler
    • Rmarkdown / R notebook

R

R studio

Reproducible research

Cheat sheets (ref cards)